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Network analysis for artificial intelligent micro-bearing systems

Wierzcholski K., Łupicka O.

Journal of KONES

2009

Vol. 16, No. 3

489-495

This paper presents the some implementation of network analysis in logical, topological form as a artificial intelligence component applied for determination of optimum system design regard to the micro-bearing operat mg parameters such as carrying load capacity, friction forces, friction coefficient and micro-bearing wear. Efficient functioning of slide micro-bearings systems require to choice the proper Journal shapes, bearing materials, roughness of bearing surfaces and many other features to which belongs capability to the processes control. Artificial intelligence of micro-bearing leads to the creating and indicating of the network logical models to describe most simple and most proper topological graphical schemes presenting the design of anticipated processes. Application of the logical network analysis into the micro-bearing HDD design is the subject-matter of this paper. Logical network analysis in graphical form as a mathematical implementation for intelligent micro-bearing mtmerical calculations is presented in this paper. Presented paper establish the scheme of calculation algorithm oj hydrodynamic pressure and carrying capacity changes in micro-bearings for various Journal shapes and for various geometries.